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Loss-of-function variants in ciliary genes confer high risk for Tetralogy of Fallot [RNA-Seq]

GSE294716 Mus musculus (mouse) RNA-seq (gene expression) 38 samples Submitted 2025/09/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 38 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
38 samples: 12 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Loss-of-function variants in ciliary genes confer high risk for tetralogy of FallotScience advances · 2025
Summary (written by the submitters)
Tetralogy of Fallot (TOF), the most common severe cyanotic congenital heart disease, has poorly understood genetic causes. Through next-generation sequencing in 131 nonsyndromic TOF patients, we identified an increased burden of rare deleterious variants in ciliary genes and cilium pathway, and observed a multigenic inheritance pattern, with an OR of 1.672 for more than two deleterious variants and a cumulative OR of 3.158 for six variants.
Read the full summary ↓
Functional validation in single- and double-heterozygous mouse models carrying these variants recapitulated TOF-like phenotypes and impaired normal cilia structure and function, particularly disrupting Hedgehog signaling in cardiomyocytes, downregulating key transcription factors Gata4 and Nkx2-5.
Published in
Loss-of-function variants in ciliary genes confer high risk for tetralogy of Fallot
Zhou Y, Jiang T, Gao J et al. · Science advances 2025 · PMID 41071877 · doi:10.1126/sciadv.adt0836
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE294716_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1251363 and SRA study SRP578996. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
E10-5_Agbl2 ×4 E10-5_Agbl2_WT ×4 E10-5-PKHD1L1 ×3 E10-5_PKHD1L1-WT-3 ×3 E10-5-Ppef2 ×3 E10-5_Ppef2-WT-7 ×3 E10-5-Sptbn5 ×3 E10-5_Sptbn5-WT-5 ×3 +4 more

Supports a between-group comparison across 38 samples.

How we read this: 12 replicated groups read from 38 sample titles; they account for 38 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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